title: Reduction of metallic interference in MEG signals using AMUSE.
abstract: Magnetoencephalography is a technique that can noninvasively measure the brain signal. There are many advantages of using this technique rather than similar procedures such as the EEG for the evaluation of medical diseases. However, one of its main problems is its high sensitivity to sources causing metallic distortion of the signal, and the removal of this type of artifacts remains unsolved. In this study a technique for reducing metallic interference was presented. This algorithm was based on AMUSE, a second order blind source separation method, and a procedure for choosing the artifactual independent components was also presented. The results showed that the elimination of these artifacts would be possible by means of the application of this AMUSE-based interference reduction procedure.
authors.forename: Carolina
authors.initials: C
authors.lastname: Migliorelli
authors.forename: Sergio
authors.initials: S
authors.lastname: Romero
authors.forename: Joan F
authors.initials: JF
authors.lastname: Alonso
authors.forename: Rafal
authors.initials: R
authors.lastname: Nowak
authors.forename: Antonio
authors.initials: A
authors.lastname: Russi
authors.forename: Miguel Angel
authors.initials: MA
authors.lastname: Mananas
mesh_terms: D000293:Adolescent; D000328:Adult; D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000502:physiology; D015921:Dental Implants; D004833:Epilepsy, Temporal Lobe / Q000628:therapy; D006801:Humans; D015225:Magnetoencephalography / Q000379:methods*; D008962:Models, Theoretical; D059906:Neuroimaging / Q000379:methods; D025341:Principal Component Analysis; D012815:Signal Processing, Computer-Assisted; D055815:Young Adult
chemical_list: D015921:Dental Implants